Parallel chaos optimization algorithm with migration and merging operation

Chaos optimization algorithm (COA) utilizes the chaotic maps to generate the pseudo-random sequences mapped as the decision variables for global optimization applications. A kind of parallel chaos optimization algorithm (PCOA) has been proposed in our former studies to improve COA. The salient feature of PCOA lies in its pseudo-parallel mechanism. However, all individuals in the PCOA search independently without utilizing the fitness and diversity information of the population. In view of the limitation of PCOA, a novel PCOA with migration and merging operation (denoted as MMO-PCOA) is proposed in this paper. Specifically, parallel individuals are randomly selected to be conducted migration and merging operation with the so far parallel solutions. Both migration and merging operation exchange information within population and produce new candidate individuals, which are different from those generated by stochastic chaotic sequences. Consequently, a good balance between exploration and exploitation can be achieved in the MMO-PCOA. The impacts of different one-dimensional maps and parallel numbers on the MMO-PCOA are also discussed. Benchmark functions and parameter identification problems are used to test the performance of the MMO-PCOA. Simulation results, compared with other optimization algorithms, show the superiority of the proposed MMO-PCOA algorithm.     

一种基于混沌同步的噪音衰减算法

论文提出了一种混沌通信系统的噪音衰减算法,该算法利用混沌同步现象在接收端获得正确的噪音估计值,从而从接收信号中滤除噪音恢复出正确的信号。通过数值仿真试验表明该方法是可行的。     

有耗非线性介质中耦合波的动力学行为

本文分析了均匀各向同性有耗非线性介质中的二阶谐波和三波耦合的动力行为，在等阻尼和相位匹配的条件的条件下导了耦合波的解析解，在不等阻尼时，通过计算Ｌｙａｐｕｍｏｖ指数分析了耦合波所具有的混纯特性。     

Chaos Synchronization between the Coupled Modified Chua's Circuits with Nonlinear Quadratic Function x|x|

1　ＩｎｔｒｏｄｕｃｔｉｏｎＴｏｄａｙ ,ｍｕｃｈａｔｔｅｎｔｉｏｎｈａｓｂｅｅｎｐａｉｄｔｏｃｈａｏｓｓｙｎｃｈｒｏｎｉｚａｔｉｏｎ[1 ,2 ] .Ｃｈａｏｓｓｙｎｃｈｒｏｎｉｚａｔｉｏｎｃａｎｍａｉｎｌｙｂｅｃｌａｓｓｉｆｉｅｄｉｎｔｏｔｗｏｔｙｐｅｓｃａｌｌｅｄｍｕｔｕａｌｓｙｎｃｈｒｏｎｉｚａｔｉｏｎａｎｄｍａｓｔｅｒ ｓｌａｖｅｓｙｎｃｈｒｏｎｉｚａｔｉｏｎａｃ ｃｏｒｄｉｎｇｔｏｔｈｅｃｏｕｐｌｉｎｇｃｏｎｆｉｇｕｒａｔｉｏｎ[3,8] .Ｔｈｅｆｏｒ ｍｅｒｉｓｗｉｔｈｂｉ ｄｉｒｅｃｔｉｏｎａｌｃｏ…     

混沌电路同步的研究

本文叙述对混沌电路实现同步控制的实验研究之初步结果。所用的电路为蔡氏电路和锁相环电路。这项研究工作在通信系统中有应用前景。     

超速状态的"混乱"呈现--2005首届深圳城市\建筑双年展评述

文章从“展览描述”、“展览性格分析”、“展览学术分析”三个层面对张永和作为独立策展人的首届深圳“城市＼建筑”双年展进行解读与剖析。     

非线性时间序列数据中的关联维提取

本文将混沌方法引入具有非线性时间序列的降雨量分析。首先对有关混沌及关联维的概念作简单介绍,在确定降雨量数据具有混沌特征后,对其进行关联维提取,得到颇具意义的结果。     

Electronic locking devices based on microcontrollers and chaotic maps using Model-Matching Control

In this work a real-time communication system using Arduino® microcontrollers, applied to electronic locking devices, is implemented. Model-Matching Control is used to achieve synchronization between transmitter and receiver Arduino® microcontrollers using only one transmission channel. Model-Matching Control is fed with dynamics from both Arduinos. Transmitter Arduino® is used also to generate in real-time an encrypted chaotic code key based on the Chen map. Receiver Arduino® recover in real-time the chaotic code key that is a binary signal key of an electronic locking device and where wireless communication is made between the two Arduinos using Bluetooth modules. System evaluation in terms of performance, randomness, and time complexity, are shown, as well as experimental results and some discussions are presented.     

基于混沌免疫粒子群优化和广义回归神经网络的回采工作面瓦斯涌出量预测模型

为提高回采工作面绝对瓦斯涌出量预测的精度和效率,提出了将混沌免疫粒子群优化(CIPSO)算法与广义回归神经网络(GRNN)相耦合的绝对瓦斯涌出量预测模型。该方法采用CIPSO对GRNN的光滑因子进行动态优化调整,减少了人为因素对GRNN网络输出结果的影响,并采用优化后的网络建立瓦斯涌出量预测模型。通过对某煤矿瓦斯涌出量数据的仿真实验结果表明:基于CIPSO-GRNN的回采工作面绝对瓦斯涌出量模型比BP神经网络、Elman网络预测模型具有更好的预测精度和收敛速度,证明了该方法的有效性和可行性。     

CDMA系统扩频地址码的性能研究与分析

CDMA技术以不同的正交码序列区分不同的用户,所以称为"码分多址"技术。混沌是非线性系统中出现的确定性的,类随机的过程。混沌系统最基本的特征是对初始值具有敏感性,尤其在伪随机码的产生方面,这些独具特色的性质使得混沌在通信应用领域有着很好的应用前景。该文利用MATLAB编程实现对基于不同扩频码(m,gold,Logistic)的系统性能进行仿真分析,比较其性能优劣。